Air-to-Ground Channel Model for Pedestrian and Vehicle Users in General Urban Environments
Precise channel modeling is crucial for analyzing the potential of autonomous aerial vehicles (AAVs) as aerial base stations (ABS) for communication in complex urban environments. Traditional air-to-ground (A2G) channel models, such as probability of line-of-sight (<inline-formula><tex-math...
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| Published in | IEEE antennas and wireless propagation letters Vol. 24; no. 1; pp. 227 - 231 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.01.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1536-1225 1548-5757 |
| DOI | 10.1109/LAWP.2024.3492507 |
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| Summary: | Precise channel modeling is crucial for analyzing the potential of autonomous aerial vehicles (AAVs) as aerial base stations (ABS) for communication in complex urban environments. Traditional air-to-ground (A2G) channel models, such as probability of line-of-sight (<inline-formula><tex-math notation="LaTeX">P_{\text{LoS}}</tex-math></inline-formula>) and path loss (PL) models, typically assume uniform free space between buildings, neglecting the distinction between roads and sidewalks. This work addresses this gap by proposing a geometry-based 3-D PL model for urban AAV communication, explicitly considering both roads and sidewalks. The proposed model extends the city layout defined by International Telecommunication Union parameters to account for the distinct geometries of these two areas, catering to different users, including fast-moving vehicles and slow-paced pedestrians. The model accurately predicts <inline-formula><tex-math notation="LaTeX">P_{\text{LoS}}</tex-math></inline-formula> and PL variations between roads and sidewalks for ABS operating at various altitudes, distances, inclinations, and azimuth angles. The model's accuracy is validated through a custom-made simulator. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1536-1225 1548-5757 |
| DOI: | 10.1109/LAWP.2024.3492507 |